Taiwan (Province of China) - Lending Rate





Taiwan (Province of China): Lending Rate

Mnemonic IRLEND.ITWN
Unit % p.a., NSA
Adjustments Not Seasonally Adjusted
Monthly
Data Sep 2020 2.44
Aug 2020 2.44

Series Information

Source Central Bank of the Republic of China
Release International Finance Statistics
Frequency Monthly
Start Date 1/31/1997
End Date 9/30/2020

Taiwan (Province of China): Markets

Reference Last Previous Units Frequency
Stock Market Index 26 Nov 2020 13,845 13,738 Index, NSA Daily
Average Long-term Government Bond Sep 2020 0.41 0.39 % p.a., NSA Monthly
Lending Rate Sep 2020 2.44 2.44 % p.a., NSA Monthly
Money Market Rate Sep 2020 0.43 0.45 %, NSA Monthly
Treasury Bills (over 31 days) Sep 2020 0.2 0 %, NSA Monthly

Release Information

For Taiwan, the Central Bank of China reports detailed monthly, quarterly, and annual data on exchange rates, international liquidity, interest rates, international transactions, prices, and central government and central bank assets and liabilities for Taiwan.

Active:

  • Measurements
    • Billions of new Taiwan dollars (Bil. TWD)
    • Millions of U.S. dollars (Mil. USD)
    • Millions of fine troy ounces
    • Percent per annum (% p.a.)
    • Fixed-base index relative to 2015 (Index 2015=100)
  • Adjustment: Not seasonally adjusted (NSA)
  • Native frequencies:
    • Monthly
    • Quarterly
    • Annual
  • Start dates: Between 1997 and 2005

Predecessors:

  • 2010=100
  • 2005=100

The current methodology conforms to the United Nations “System of National Accounts,” and classifies the transactions of financial institutions into six sectors according to whether the counter party is a foreign entity, the government, a government enterprise, a private enterprise, an individual (household) or a domestic financial institution. 

The financial statistics are compiled by using the financial data submitted to the Central Bank by the various financial institutions. After reviewed by Economic Research Department personnel of the Central Bank, they are then tabulated according to grouping. The resulting tables provide a solid basis for further statistical analysis on monetary aggregates. 

If there are any revisions in data they will be updated when the next periods data is released.